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http://hdl.handle.net/11375/22808
Title: | Diversity and Evolution of Antibiotic Resistomes |
Authors: | Pawlowski, Andrew |
Advisor: | Wright, Gerard |
Department: | Biochemistry and Biomedical Sciences |
Keywords: | Antibiotics;Antibiotic resistance;Microbial evolution |
Publication Date: | 24-Nov-2017 |
Abstract: | The relentless evolution of antibiotic resistance in pathogens is one of the most pressing medical concerns of the 21st century. Antibiotic resistance and antibiotic drugs originated in environmental bacteria, where they have been integral to their evolution for millions of years. The application of antibiotics in medicine and agriculture has selected for mobilization and dissemination of resistance genes in pathogens. Understanding their evolution here will aid in combating their evolution in pathogens. This work expands the known mechanistic, functional, and genetic diversity of resistance (i.e. resistomes) in environmental bacteria. I systematically parse the extensively drug-resistant resistome of Paenibacillus sp. LC231, which was sampled from an underground ecosystem spatiotemporally isolated from the surface for over 4 Myr. Paenibacillus sp. LC231 was resistant to 26 of 40 drugs tested. Informatic annotation of resistance genes and functional genomes revealed 18 new resistance elements including five determinants without characterized homologs and three mechanisms not previously known to confer resistance. I investigated the resistome of Brevibacillus brevis VM4 to study the relationship between species diversity and resistance diversity in the Paenibacillaceae family, which includes Paenibacillus sp. LC231. I found that resistome diversity does not correlate with species diversity, consistent with horizontal transfer of resistance genes. In each of Paenibacillus sp. LC231 (MphI) and B. brevis VM4 (MphJ), I identified Mphs with unique substrate specifies. I identified the molecular determinants of substrate discrimination in MphI and in doing so, I developed a general strategy for understanding and predicting the functional evolution of resistance enzymes. Together, this work expands the known diversity of resistance that will enable better detection of resistance in pathogens. |
URI: | http://hdl.handle.net/11375/22808 |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Description | Size | Format | |
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Pawlowski_Andrew_C_finalsubmission2017Dec_PhD.pdf | 191.02 MB | Adobe PDF | View/Open |
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